Using the Personalized Advantage Index for Individual Treatment Allocation to Blended Treatment or Treatment as Usual for Depression in Secondary Care
| العنوان: | Using the Personalized Advantage Index for Individual Treatment Allocation to Blended Treatment or Treatment as Usual for Depression in Secondary Care |
|---|---|
| المؤلفون: | Tobias Krieger, Jérôme Holtzmann, Thomas Berger, Kim Mathiasen, Antoine Urech, Annet Kleiboer, Heleen Riper, Nadine Friedl, Jean Baptiste Hazo, Karine Chevreul, Mark Hoogendoorn |
| المساهمون: | Computer Science, Network Institute, Computational Intelligence, Clinical Psychology, APH - Global Health, APH - Mental Health, Psychiatry |
| المصدر: | Friedl, N, Krieger, T, Chevreul, K, Hazo, J B, Holtzmann, J, Hoogendoorn, M, Kleiboer, A, Mathiasen, K, Urech, A, Riper, H & Berger, T 2020, ' Using the Personalized Advantage Index for Individual Treatment Allocation to Blended Treatment or Treatment as Usual for Depression in Secondary Care ', Journal of Clinical Medicine, vol. 9, no. 2, 490 . https://doi.org/10.3390/jcm9020490Test Friedl, Nadine; Krieger, Tobias; Chevreul, Karine; Hazo, Jean Baptiste; Holtzmann, Jérôme; Hoogendoorn, Mark; Kleiboer, Annet; Mathiasen, Kim; Urech, Antoine; Riper, Heleen; Berger, Thomas (2020). Using the Personalized Advantage Index for Individual Treatment Allocation to Blended Treatment or Treatment as Usual for Depression in Secondary Care. Journal of clinical medicine, 9(2) MDPI 10.3390/jcm9020490 <http://dx.doi.org/10.3390/jcm9020490Test> Journal of Clinical Medicine, Vol 9, Iss 2, p 490 (2020) Journal of Clinical Medicine; Volume 9; Issue 2; Pages: 490 Journal of Clinical Medicine, 9(2):490. MDPI AG Journal of Clinical Medicine Journal of Clinical Medicine, 9(2):490 Friedl, N, Krieger, T, Chevreul, K, Hazo, J B, Holtzmann, J, Hoogendoorn, M, Kleiboer, A, Mathiasen, K, Urech, A, Riper, H & Berger, T 2020, ' Using the personalized advantage index for individual treatment allocation to blended treatment or treatment as usual for depression in secondary care ', Journal of Clinical Medicine, vol. 9, no. 2, 490 . https://doi.org/10.3390/jcm9020490Test |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | blended treatment, 050103 clinical psychology, Treatment response, medicine.medical_specialty, treatment selection, Psychological intervention, Treatment as usual, lcsh:Medicine, 610 Medicine & health, personalized advantage index, depression, CBT, Bayesian model averaging, Article, Blended treatment, law.invention, Secondary care, 03 medical and health sciences, 0302 clinical medicine, Randomized controlled trial, SDG 3 - Good Health and Well-being, law, medicine, 0501 psychology and cognitive sciences, Depression (differential diagnoses), Expectancy theory, business.industry, 05 social sciences, lcsh:R, cbt, General Medicine, 030227 psychiatry, bayesian model averaging, Physical therapy, business, 150 Psychology |
| الوصف: | A variety of effective psychotherapies for depression are available, but patients who suffer from depression vary in their treatment response. Combining face-to-face therapies with internet-based elements in the sense of blended treatment is a new approach to treatment for depression. The goal of this study was to answer the following research questions: (1) What are the most important predictors determining optimal treatment allocation to treatment as usual or blended treatment? and (2) Would model-determined treatment allocation using this predictive information and the personalized advantage index (PAI)-approach result in better treatment outcomes? Bayesian model averaging (BMA) was applied to the data of a randomized controlled trial (RCT) comparing the efficacy of treatment as usual and blended treatment in depressive outpatients. Pre-treatment symptomatology and treatment expectancy predicted outcomes irrespective of treatment condition, whereas different prescriptive predictors were found. A PAI of 2.33 PHQ-9 points was found, meaning that patients who would have received the treatment that is optimal for them would have had a post-treatment PHQ-9 score that is two points lower than if they had received the treatment that is suboptimal for them. For 29% of the sample, the PAI was five or greater, which means that a substantial difference between the two treatments was predicted. The use of the PAI approach for clinical practice must be further confirmed in prospective research; the current study supports the identification of specific interventions favorable for specific patients. |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 2077-0383 2049-3630 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80698a29ecee4ca625c42c8237934900Test https://findresearcher.sdu.dk:8443/ws/files/170853470/jcm_09_00490_v2.pdfTest |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....80698a29ecee4ca625c42c8237934900 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 20770383 20493630 |
|---|